摘要
针对异构数据融合耗时过长,共享过程能耗过多的问题,基于知识图谱技术,提出了一种新的多源异构数据融合、共享方法。引用纵向数据融合与横向数据融合方法,纵向数据融合利用Web Service接口,横向数据融合采用SNMP接口;确定异构数据源位置,利用知识图谱技术建立拓扑结构,基于权值确定共享顺序,实现多源异构数据融合、共享。实验结果表明,提出的基于知识图谱技术的多源异构数据融合、共享方法能够有效缩短融合时间,且共享过程能耗满足源头节能要求。
In order to solve the problems of time⁃consuming heterogeneous data fusion and energy consumption in sharing process,a new method of multi⁃source heterogeneous data fusion and sharing based on knowledge mapping technology is proposed.Vertical data fusion uses Web Service interface and horizontal data fusion uses SNMP interface.The location of heterogeneous data sources is determined,the topological structure is established by using knowledge mapping technology,and the sharing order is determined based on weight to realize the fusion and sharing of multi⁃source heterogeneous data.The experimental results show that the proposed multi⁃source heterogeneous data fusion and sharing method based on knowledge mapping technology can effectively shorten the fusion time,and the energy consumption of sharing process can meet the requirements of source energy saving.
作者
潘建宏
王磊
樊家树
张俊茹
董爱迪
PAN Jianhong;WANG Lei;FAN Jiashu;ZHANG Junru;DONG Aidi(State Grid Jilin Electric Power Company Limited,Changchun 130010,China;State Grid Liaoyuan Power Supply Company,Liaoyuan 136200,China;Information Communication Company,State Grid Jilin Electric Power Co.,Ltd.,Changchun 130010,China;State Grid Baicheng Power Supply Company,Baicheng 137000,China)
出处
《电子设计工程》
2022年第23期185-188,193,共5页
Electronic Design Engineering
基金
国家电网有限公司总部科技项目(5700-202190175A-0-0-00)。
关键词
知识图谱
多源异构数据
数据融合
数据共享
融合共享
数据研究
knowledge graph
multi⁃source heterogeneous data
data fusion
data sharing
fusion sharing
data research